https://github.com/jhsmit/slimfit

Symfit's little brother
https://github.com/jhsmit/slimfit

Last synced: about 1 month ago
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Symfit's little brother

• Host: GitHub
• URL: https://github.com/jhsmit/slimfit
• Owner: Jhsmit
• License: mit
• Created: 2022-11-15T15:39:13.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2024-06-12T11:07:14.000Z (5 months ago)
• Last Synced: 2024-10-05T00:13:41.233Z (about 2 months ago)
• Language: Python
• Homepage: https://jhsmit.github.io/slimfit/
• Size: 3.91 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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README

        
# SlimFit

**SymFit's little brother**

Documentation: https://jhsmit.github.io/slimfit/

This project is inspired by [SymFit](https://github.com/tBuLi/symfit) and is functional, to some degree, but in currently in BETA

* Free software: MIT license

## Aims

* Inspiration for a potential SymFit 2.0

* Expectation-Maximization likelihood maximization

## Quick Start

```python

from sympy import symbols

from slimfit import Model, Fit, Parameter

import numpy as np

y, a, x, b = symbols('y a x b')

model = Model({y: a*x + b})

parameters = [

    Parameter(a, guess=2.5),

    Parameter(b, guess=1, lower_bound=0.)

]

xdata = np.linspace(0, 11, 25)

ydata = 0.5*xdata + 2.5

ydata += np.random.normal(0, scale= ydata / 10.0 + 0.2)

data = {'x': xdata, 'y': ydata}

fit = Fit(model, parameters, data)

result = fit.execute()

print(result.parameters)

>>> {'a': array(0.47572707), 'b': array(2.6199133)}

```

Installation

------------

```console

$ pip install slimfit

```